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Data as of October 29, 2026 · How the score is built

CurrentProprietaryNon-Reasoning

Released Sep 17, 2026N/A contextWispr model documentation

Wispr Canto

Decision readingWispr Canto is tracked, but not publicly ranked yet. Published speech or voice results from Canto launch evaluation appear below. They do not produce a weighted text-model score.

Released Sep 17, 2026 — see all recent releases

Voice benchmark evidence

Canto launch evaluation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.

Real-world dictation WER
3.4%
Real-world dictation rank
#1 of 6
Audio challenge set WER
9.1%
Audio challenge set rank
#2 of 6
LibriSpeech WER
1.7%
FLEURS WER
3.6%
Common Voice WER
9.2%
Provider launch snapshot · Wispr · 2026-09-17 · lower WER is better

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Sep 17, 2026 · you are here

    Wispr Canto

    Not publicly ranked · Price not listed

Base entry

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not publishedWispr model documentation
Context window
N/A
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Announced September 17, 2026 as the speech model behind Wispr Flow dictation. Wispr publishes no public model endpoint, model weights, or standalone transcription API for Canto; access is through the Wispr Flow apps.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordWispr model documentation
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Wispr Canto, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

Wispr Canto is a proprietary model with a N/A context window. No explicit reasoning mode is documented in this profile.

Announced September 17, 2026 as the speech model behind Wispr Flow dictation. Wispr publishes no public model endpoint, model weights, or standalone transcription API for Canto; access is through the Wispr Flow apps.

Canto is a display-only real-time dictation speech-to-text model from the Wispr Advanced Interfaces Lab. Transcription results remain separate from BenchLM’s weighted text-model ranking.

Speech or voice evidence appears above; text-model benchmark coverage remains empty.

Last updated October 29, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Wispr Canto perform overall in AI benchmarks?

Wispr Canto has published speech or voice results in Canto launch evaluation. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.

Does Wispr Canto have full benchmark coverage on BenchLM?

No. Wispr Canto's speech or voice results appear in Canto launch evaluation, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.

What is the context window size of Wispr Canto?

Wispr Canto has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

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